minhbui/llama2-13b-v1

ckpts/llama2-13b-viettel_v3.2_1epoch

This model is a fine-tuned version of meta-llama/Llama-2-13b-hf on the our custom dataset. It achieves the following results on the evaluation set:

• Loss: 0.3534

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0002
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• total_eval_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 20
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.4028	0.08	200	0.3990
0.3973	0.16	400	0.3866
0.3832	0.24	600	0.3790
0.3844	0.33	800	0.3728
0.3703	0.41	1000	0.3676
0.3682	0.49	1200	0.3640
0.3669	0.57	1400	0.3606
0.3677	0.65	1600	0.3580
0.3545	0.73	1800	0.3556
0.3593	0.82	2000	0.3543
0.3442	0.9	2200	0.3536
0.363	0.98	2400	0.3534

Framework versions

• Transformers 4.34.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.14.4
• Tokenizers 0.14.0